KubeCon + CloudNativeCon + Open Source Summit + AI_dev China 2024

The dynamic landscape of cloud-edge computing demands solutions to mitigate energy consumption and promote sustainability. Our proposal advocates for the integration of Kepler and Open Horizon with CNCF and LF Edge ecosystem to address diverse hardware requirements in Cloud and Edge deployments, including x86, arm, s390, and the emerging RISC-V architectures. Notably, the Chinese market, characterized by edge devices in manufacturing, retail and surveillance domains, stands to benefit significantly from this initiative. By using Kepler’s sophisticated energy estimation capabilities and Open Horizon’s autonomous workload management features, this proposal endeavors to optimize energy efficiency across heterogeneous edge environments. In the session, we will demonstrate one use case to build and integrate Kepler and Open Horizon to work on RISC-V platform, and monitor and optimize distributed and heterogeneous system to build a greener and more resilient cloud-edge computing paradigm.

云边计算的动态景观需要解决能源消耗问题并促进可持续发展。我们的提案主张将Kepler和Open Horizon与CNCF和LF Edge生态系统整合，以解决云和边缘部署中多样化的硬件需求，包括x86、arm、s390和新兴的RISC-V架构。值得注意的是，中国市场以制造、零售和监控领域的边缘设备为特征，这一举措将使其受益匪浅。通过利用Kepler的先进能源估算能力和Open Horizon的自主工作负载管理功能，本提案旨在优化异构边缘环境的能源效率。 在本场演讲中，我们将演示一个使用案例，展示如何构建和整合Kepler和Open Horizon在RISC-V平台上运行，并监控和优化分布式和异构系统，以构建更环保、更具弹性的云边计算范式。